Overlay dx - Automating forecasting evaluation

arXiv:2609.24586 · cs.LG, cs.AI · Submitted 2026-09-21 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-09-21

Updated: 2026-09-21

Journal ref: Optimization and Learning. OLA 2025. Communications in Computer and Information Science, Apr 2025, Dubai, United Arab Emirates, France. pp.98-110

Code: https://github.com/Smile-SA/overlay_dx

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 8× in this paper · explained in 1 episode
• Alignment — 8× in this paper · explained in 1 episode
• Interpretability — 8× in this paper · explained in 15 episodes
• Mean Absolute Error — 5× in this paper
• Mean Squared Error — 5× in this paper
• Dynamic Time Warping — 3× in this paper
• Root Mean Squared Error — 3× in this paper
• AUC — 2× in this paper · explained in 2 episodes
• Area Under Curve — 2× in this paper
• Dynamic Time Warping (DTW) — 2× in this paper · explained in 2 episodes
• Mean Absolute Percentage Error — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Normalized Root Mean Squared Error — 1× in this paper
• Time Series Forecasting — 1× in this paper · explained in 3 episodes
• Weighted Mean Absolute Percentage Error — 1× in this paper

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